Salesforce Certified CRM Analytics and Einstein Discovery Consultant : Analytics-Con-201 Exam Questions

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market.
What is the appropriate action?

A) Append more rows of data with "other values of Region" to balance the dataset properly.
B) Choose the recommended action "keep only North America" and exclude all of the other rows.
C) Understand if client should only "focus on North America" or drop the field, as it does not have valuable information.

2. Universal Containers intends to use a custom Salesforce big object in its org and visualize the data using CRM Analytics. As the number of rows to be synced is quite large, the CRM Analytics consultant is looking to set up an incremental sync with additional filters added as part of the data sync to improve performance.
What should the consultant keep in mind while implementing this?

A) Custom big objects are NOT supported by CRM Analytics.
B) Incremental data syne Is NOT supported for big objects.
C) Only SOSL queries can be used as data syne filters.

3. The CRM Analytics consultant at Cloud Kicks (CK) notices that a specific dashboard is showing a different date and time from their locale. Upon investigating, they find that the recipe and datasetswere created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem?

A) Data within datasets is modified for localization or internationalization.
B) The dataset metadata locale Is not overridden by Individual user locale settings.
C) The developer turned off dynamic time zone in CRM Analytics settings.

4. A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A) Drop the field as it will be difficult to get future respondents.
B) Apply the predict missing values transformation in recipe nodes.
C) Fill in the missing data with an average of all incomes.

5. CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?

A) Priority - Logic - Level of Granularity
B) Clarity - Efficiency - Consistency
C) Purpose - Structure - Surface

Solutions: